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Tag: AWS Glue

Identify objections in customer conversations using Amazon Comprehend to enhance customer experience without ML expertise

According to a PWC report, 32% of retail customers churn after one negative experience, and 73% of customers say that customer experience influences their...

Generate actionable insights for predictive maintenance management with Amazon Monitron and Amazon Kinesis

Reliability managers and technicians in industrial environments such as manufacturing production lines, warehouses, and industrial plants are keen to improve equipment health and uptime...

Connect Amazon EMR and RStudio on Amazon SageMaker

RStudio on Amazon SageMaker is the industry’s first fully managed RStudio Workbench integrated development environment (IDE) in the cloud. You can quickly launch the...

Import data from over 40 data sources for no-code machine learning with Amazon SageMaker Canvas

Data is at the heart of machine learning (ML). Including relevant data to comprehensively represent your business problem ensures that you effectively capture trends...

Accelerate time to insight with Amazon SageMaker Data Wrangler and the power of Apache Hive

Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes in Amazon...

How Kakao Games automates lifetime value prediction from game data using Amazon SageMaker and AWS Glue

This post is co-written with Suhyoung Kim, General Manager at KakaoGames Data Analytics Lab. Kakao Games is a top video game publisher and developer...

Extract non-PHI data from Amazon HealthLake, reduce complexity, and increase cost efficiency with Amazon Athena and Amazon SageMaker Canvas

In today’s highly competitive market, performing data analytics using machine learning (ML) models has become a necessity for organizations. It enables them to unlock...

How Thomson Reuters delivers personalized content subscription plans at scale using Amazon Personalize

This post is co-written by Hesham Fahim from Thomson Reuters. Thomson Reuters (TR) is one of the world’s most trusted information organizations for businesses...

Use machine learning to detect anomalies and predict downtime with Amazon Timestream and Amazon Lookout for Equipment

The last decade of the Industry 4.0 revolution has shown the value and importance of machine learning (ML) across verticals and environments, with more...

­­Speed ML development using SageMaker Feature Store and Apache Iceberg offline store compaction

Today, companies are establishing feature stores to provide a central repository to scale ML development across business units and data science teams. As feature...

Power recommendation and search using an IMDb knowledge graph – Part 1

The IMDb and Box Office Mojo Movies/TV/OTT licensable data package provides a wide range of entertainment metadata, including over 1 billion user ratings; credits...

Accelerate the investment process with AWS Low Code-No Code services

The last few years have seen a tremendous paradigm shift in how institutional asset managers source and integrate multiple data sources into their investment...

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